More details about the JDK bug here
https://bugs.openjdk.org/browse/JDK-8277529
Related Jira ticket
https://issues.apache.org/jira/browse/FLINK-24998
From: Jing Ge via user
Sent: Monday, April 24, 2023 11:15 PM
To: Chesnay Schepler
Cc: Piotr Nowojski ; Alexis Sa
This is really helpful,
Thanks
On Thu, Apr 27, 2023 at 5:46 AM Yanfei Lei wrote:
> Hi Giannis,
>
> Except “default” Colume Family(CF), all other CFs represent the state
> in rocksdb state backend, the name of a CF is the name of a
> StateDescriptor.
>
> - deduplicate-state is a value state, you
Hi Jiadong,
>From the context you described, I think ProcessingTimeWindow may not be a
good solution.
If I understand correctly, you'd like to use the same SQL for streaming and
batch jobs in your platform. How about creating partitioned Sink tables for
streaming jobs instead of Window? Then the s
Hi Lu,
At present, Flink is still based on row format in the runtime execution
layer and vectorization relies mostly on automatic compiler optimizations
of the JVM.
Best regards,
Weijie
Shammon FY 于2023年4月27日周四 10:52写道：
> Hi Lu,
>
> Currently, Flink does not have official benchmark results
Thanks! Shammon! Do you also have insights on the first 2 questions as
well? Thanks!
1. Does flink batch mode use columnar in-memory format?
2. Does flink batch mode use vectorization technique?
Best
Lu
On Wed, Apr 26, 2023 at 7:51 PM Shammon FY wrote:
> Hi Lu,
>
> Currently, Flink does not h
Filed ticket https://issues.apache.org/jira/browse/FLINK-31949 to track
this issue.
On Thu, Apr 27, 2023 at 11:14 AM Dian Fu wrote:
> Hi Urs,
>
> I guess you are right. This seems like a bug which should be addressed.
>
> Regards,
> Dian
>
> On Mon, Apr 24, 2023 at 5:07 AM Urs Schönenberger <
>
Hi Urs,
I guess you are right. This seems like a bug which should be addressed.
Regards,
Dian
On Mon, Apr 24, 2023 at 5:07 AM Urs Schönenberger <
urs.schoenenber...@tngtech.com> wrote:
> Hi all,
>
> In FLINK-26444, a couple of convenience window assigners were added to
> the Python Datastream A
Hi Lu,
Currently, Flink does not have official benchmark results compared to Spark
and Presto. You can run the TPC-DS benchmark yourself to compare to
different engines, Flink supports all queries for TPC-DS, for example, the
benchmark project [1]. Of course, other companies have made similar
comp
Hi Giannis,
Except “default” Colume Family(CF), all other CFs represent the state
in rocksdb state backend, the name of a CF is the name of a
StateDescriptor.
- deduplicate-state is a value state, you can find it in
DeduplicateFunctionBase.java and
MiniBatchDeduplicateFunctionBase.java, they are
Hi, Flink users
I am trying to understand the internals of flink batch mode. some questions:
1. Does flink batch mode use columnar in-memory format?
2. Does flink batch mode use vectorization technique?
3. any performance benchmark available compared with batch engines like
spark or presto?
Some
I think the behaviour is going to get a little weird because this would
actually defeat the purpose of the standby TM.
MAX - some offset will decrease once you lose a TM so in this case we would
scale down to again have a spare (which we never actually use.)
Gyula
On Wed, Apr 26, 2023 at 4:02 PM
Reactive mode doesn't support standby taskmanagers. As you said it
always uses all available resources in the cluster.
I can see it being useful though to not always scale to MAX but (MAX -
some_offset).
I'd suggest to file a ticket.
On 26/04/2023 00:17, Wei Hou via user wrote:
Hi Flink com
Hi Shanmmon,
Thank you for your quick response.
To give you some context, I am working on a project that involves
joining two streams and performing some left/inner join operations based
on certain keys. As for using batch mode, my intention is to have a
unified approach that works for both s
Hi Jiadong
Using the process time window in Batch jobs may be a little strange for
me. I prefer to partition the data according to the day level, and then the
Batch job reads data from different partitions instead of using Window.
Best,
Shammon FY
On Wed, Apr 26, 2023 at 12:03 PM Jiadong Lu wro
This feature would be an awesome addition! I'm looking forward to it
On Mon, Apr 24, 2023 at 3:59 PM Илья Соин wrote:
> Thank you, Shammon FY
>
> --
> *Sincerely,*
> *Ilya Soin*
>
> On 24 Apr 2023, at 15:19, Shammon FY wrote:
>
>
> Thanks Илья, there's already a FLIP [1] and discussion thread
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